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I made a script to calculate a user's karma (feddit.de)

submitted 1 year ago* (last edited 1 year ago) by [email protected] to c/[email protected]

40 comments fedilink hide all child comments

Just save this as karma.py and run it with Python 3.6 or higher.

import requests
import math

INSTANCE_URL = "https://feddit.de"
TARGET_USER = "ENTER_YOUR_USERNAME_HERE"

LIMIT_PER_PAGE = 50

res = requests.get(f"{INSTANCE_URL}/api/v3/user?username={TARGET_USER}&limit={LIMIT_PER_PAGE}").json()

totalPostScore = 0
totalCommentScore = 0
page = 1
while len(res["posts"])+len(res["comments"]) > 0:
	totalPostScore += sum([ x["counts"]["score"] for x in res["posts"] ])
	totalCommentScore += sum([ x["counts"]["score"] for x in res["comments"] ])
	
	page += 1
	res = requests.get(f"{INSTANCE_URL}/api/v3/user?username={TARGET_USER}&limit={LIMIT_PER_PAGE}&page={page}").json()

print("Post karma:    ", totalPostScore)
print("Comment karma: ", totalCommentScore)
print("Total karma:   ", totalPostScore+totalCommentScore)

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[–] [email protected] 0 points 1 year ago (1 children)

I've not used requests, but yes their docs make it look like it really is that easy: https://requests.readthedocs.io/en/latest/user/quickstart/

Looks like the .json() call just returns a dictionary (or maybe a list of dictionaries), which means you can use all of python's normal dictionary methods to find the data you're looking for!

[–] [email protected] 2 points 1 year ago

Thanks for the link! This looks like an absurdly powerful library for HTTP needs and output manipulation from the perspective of a scraping neophyte.